Kenneth Train’s exercises using the mlogit package for R Kenneth Train Yves Croissant

Source URL: cran.r-project.org

• Regression analysis
• Categorical data
• Econometrics
• Environmental economics
• Mixed logit
• Discrete choice
• Multinomial logit
• Logistic regression
• Choice modelling
• Statistics
• Economics
• Statistical models

Travel Mode - Multinomial Logit Model February 8, 2012 For multinomial models that include category–specific as well as global effects the function ”mlogit” from the library ”mlogit” can be used. > library(mlog

Source URL: cran.r-project.org

• Logistic regression
• R
• Deviance
• Statistics
• Regression analysis
• Multinomial logit

R. Karl Rethemeyer Summary of Teaching Experience Empirical Methods: Instructor (adjunct faculty[removed], Teaching Fellow[removed]Course title: Professors: Content:

Source URL: www.albany.edu

• Economics
• Multinomial logit
• Least squares
• Linear regression
• Instrumental variable
• Statistics
• Regression analysis
• Econometrics

1 Lecture 6. Order Statistics 6.1 The Multinomial Formula Suppose we pick a letter from {A, B, C}, with P (A) = p1 = .3, P (B) = p2 = .5, P (C) = p3 = .2. If we do this independently 10 times, we will find the probabil

Source URL: www.math.uiuc.edu

• Variance
• Central limit theorem
• Moment
• Expected value
• Convergence of random variables
• Gamma distribution
• Law of large numbers
• Statistics
• Mathematical analysis
• Probability theory

Party Preference - Star Plots February 8, 2012 First the party preference data are built, then they are transformed to a data set that will be used for the multinomial response models. The data include party preference,

Source URL: cran.r-project.org

School Psychology Review, 2011, Volume 40, No. 1, pp. 85–107 Race Is Not Neutral: A National Investigation of African American and Latino Disproportionality in School Discipline

Source URL: www.indiana.edu

• Socioeconomics
• Multinomial logit
• No Child Left Behind Act
• Positive behavior support
• School discipline
• Education
• Achievement gap in the United States
• Affirmative action in the United States

Addiction - Multinomial Model February 8, 2012 First the ”addiction” data are loaded and attached. > library(catdata) > data(addiction)

Source URL: cran.r-project.org

• Econometrics
• Logistic regression
• Multinomial logit
• Deviance
• Logit
• Statistics
• Regression analysis
• Categorical data

Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment (Supplementary Materials) Jason Chuang Stanford University, 353 Serra Mall, Stanford, CA[removed]USA

Source URL: idl.cs.washington.edu

Addiction - Additive Multinomial Logit Models February 8, 2012 First the ”Addiction”–Data from ”catdata” are loaded and attached. > library(catdata) > data(addiction) > attach(addiction)

Source URL: cran.r-project.org

• Hypothesis testing
• Econometrics
• Logistic regression
• Logit
• Multinomial logit
• Statistical significance
• R
• P-value
• Statistics
• Regression analysis
• Categorical data

Addiction - Multinomial Model with Hierarchically Structured Response February 8, 2012 First the ”addiction” data are loaded and attached. > library(catdata) > data(addiction)

Source URL: cran.r-project.org

• Deviance
• Hypothesis testing
• Logistic regression
• Errors and residuals in statistics
• Age of Empires II: The Age of Kings
• R
• Degrees of freedom
• Akaike information criterion
• Statistics
• Regression analysis
• Categorical data